Triple

T10494028
Position Surface form Disambiguated ID Type / Status
Subject Snake Eyes E247488 entity
Predicate starring P1507 FINISHED
Object Stan Shaw E248300 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Stan Shaw | Statement: [Snake Eyes, starring, Stan Shaw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stan Shaw
Context triple: [Snake Eyes, starring, Stan Shaw]
  • A. Stan Shaw chosen
    Stan Shaw is an American character actor known for his roles in films such as "Harlem Nights," "Rocky," and "The Boys in Company C."
  • B. Tom Shaw
    Tom Shaw is a central character in Louisa May Alcott’s novel "An Old-Fashioned Girl," portrayed as a kind but initially worldly young man whose growth and changing values mirror the story’s moral themes.
  • C. Billy Shaw
    Billy Shaw is a Hall of Fame American football guard best known for his standout career with the Buffalo Bills in the American Football League.
  • D. Chris Shaw
    Chris Shaw is an American professional baseball player and power-hitting outfielder/first baseman who played college baseball at Boston College before reaching Major League Baseball.
  • E. Sam Shaw
    Sam Shaw is an American television writer and producer best known for co-creating the horror anthology series "Castle Rock" inspired by the works of Stephen King.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5097fe2bc81909d66ce43f3533284 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dcaeb6088190829b6c26eb1de7d5 completed April 10, 2026, 11:19 a.m.
Created at: April 6, 2026, 12:24 p.m.